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Optimizing peer review to minimize the risk of retracting COVID-19-related literature
Retractions of COVID-19 literature in both preprints and the peer-reviewed literature serve as a reminder that there are still challenging issues underlying the integrity of the biomedical literature. The risks to academia become larger when such retractions take place in high-ranking biomedical jou...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678589/ https://www.ncbi.nlm.nih.gov/pubmed/33216274 http://dx.doi.org/10.1007/s11019-020-09990-z |
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author | Teixeira da Silva, Jaime A. Bornemann-Cimenti, Helmar Tsigaris, Panagiotis |
author_facet | Teixeira da Silva, Jaime A. Bornemann-Cimenti, Helmar Tsigaris, Panagiotis |
author_sort | Teixeira da Silva, Jaime A. |
collection | PubMed |
description | Retractions of COVID-19 literature in both preprints and the peer-reviewed literature serve as a reminder that there are still challenging issues underlying the integrity of the biomedical literature. The risks to academia become larger when such retractions take place in high-ranking biomedical journals. In some cases, retractions result from unreliable or nonexistent data, an issue that could easily be avoided by having open data policies, but there have also been retractions due to oversight in peer review and editorial verification. As COVID-19 continues to affect academics and societies around the world, failures in peer review might also constitute a public health risk. The effectiveness by which COVID-19 literature is corrected, including through retractions, depends on the stringency of measures in place to detect errors and to correct erroneous literature. It also relies on the stringent implementation of open data policies. |
format | Online Article Text |
id | pubmed-7678589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-76785892020-11-23 Optimizing peer review to minimize the risk of retracting COVID-19-related literature Teixeira da Silva, Jaime A. Bornemann-Cimenti, Helmar Tsigaris, Panagiotis Med Health Care Philos Scientific Contribution Retractions of COVID-19 literature in both preprints and the peer-reviewed literature serve as a reminder that there are still challenging issues underlying the integrity of the biomedical literature. The risks to academia become larger when such retractions take place in high-ranking biomedical journals. In some cases, retractions result from unreliable or nonexistent data, an issue that could easily be avoided by having open data policies, but there have also been retractions due to oversight in peer review and editorial verification. As COVID-19 continues to affect academics and societies around the world, failures in peer review might also constitute a public health risk. The effectiveness by which COVID-19 literature is corrected, including through retractions, depends on the stringency of measures in place to detect errors and to correct erroneous literature. It also relies on the stringent implementation of open data policies. Springer Netherlands 2020-11-20 2021 /pmc/articles/PMC7678589/ /pubmed/33216274 http://dx.doi.org/10.1007/s11019-020-09990-z Text en © Springer Nature B.V. 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Scientific Contribution Teixeira da Silva, Jaime A. Bornemann-Cimenti, Helmar Tsigaris, Panagiotis Optimizing peer review to minimize the risk of retracting COVID-19-related literature |
title | Optimizing peer review to minimize the risk of retracting COVID-19-related literature |
title_full | Optimizing peer review to minimize the risk of retracting COVID-19-related literature |
title_fullStr | Optimizing peer review to minimize the risk of retracting COVID-19-related literature |
title_full_unstemmed | Optimizing peer review to minimize the risk of retracting COVID-19-related literature |
title_short | Optimizing peer review to minimize the risk of retracting COVID-19-related literature |
title_sort | optimizing peer review to minimize the risk of retracting covid-19-related literature |
topic | Scientific Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7678589/ https://www.ncbi.nlm.nih.gov/pubmed/33216274 http://dx.doi.org/10.1007/s11019-020-09990-z |
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